Correlation Between Oriental Carbon and Procter Gamble
Can any of the company-specific risk be diversified away by investing in both Oriental Carbon and Procter Gamble at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining Oriental Carbon and Procter Gamble into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Oriental Carbon Chemicals and Procter Gamble Health, you can compare the effects of market volatilities on Oriental Carbon and Procter Gamble and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in Oriental Carbon with a short position of Procter Gamble. Check out your portfolio center. Please also check ongoing floating volatility patterns of Oriental Carbon and Procter Gamble.
Diversification Opportunities for Oriental Carbon and Procter Gamble
0.13 | Correlation Coefficient |
Average diversification
The 3 months correlation between Oriental and Procter is 0.13. Overlapping area represents the amount of risk that can be diversified away by holding Oriental Carbon Chemicals and Procter Gamble Health in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Procter Gamble Health and Oriental Carbon is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on Oriental Carbon Chemicals are associated (or correlated) with Procter Gamble. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Procter Gamble Health has no effect on the direction of Oriental Carbon i.e., Oriental Carbon and Procter Gamble go up and down completely randomly.
Pair Corralation between Oriental Carbon and Procter Gamble
Assuming the 90 days trading horizon Oriental Carbon Chemicals is expected to under-perform the Procter Gamble. In addition to that, Oriental Carbon is 1.34 times more volatile than Procter Gamble Health. It trades about -0.06 of its total potential returns per unit of risk. Procter Gamble Health is currently generating about 0.18 per unit of volatility. If you would invest 514,665 in Procter Gamble Health on September 28, 2024 and sell it today you would earn a total of 30,250 from holding Procter Gamble Health or generate 5.88% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Oriental Carbon Chemicals vs. Procter Gamble Health
Performance |
Timeline |
Oriental Carbon Chemicals |
Procter Gamble Health |
Oriental Carbon and Procter Gamble Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Oriental Carbon and Procter Gamble
The main advantage of trading using opposite Oriental Carbon and Procter Gamble positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Oriental Carbon position performs unexpectedly, Procter Gamble can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Procter Gamble will offset losses from the drop in Procter Gamble's long position.Oriental Carbon vs. NMDC Limited | Oriental Carbon vs. Steel Authority of | Oriental Carbon vs. Embassy Office Parks | Oriental Carbon vs. Gujarat Narmada Valley |
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Check out your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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